Senior AI Engineer

Shell Singapore Pte Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Shell Singapore Pte Ltd seeks an experienced Senior AI Engineer to design, build, deploy, and scale AI-powered products and services that deliver measurable business value. This role covers rapid prototyping through production, with a focus on integrating AI capabilities into enterprise workflows.

You will work across the AI solution lifecycle, partnering with data scientists, product managers, platform teams, and business stakeholders to drive operational efficiency and business outcomes.

Qualifications

• Bachelor's or Master’s degree in CS, AI, DS, or SE.
• Substantial production AI/ML solutions experience.
• Strong Python programming and software engineering skills.
• Experience with ML operations, deployment, and monitoring.

Responsibilities

• Design, develop, deploy, and scale AI/ML solutions.
• Integrate LLM-powered apps into enterprise workflows.
• Build scalable AI services and ML pipelines.
• Collaborate with data scientists, product managers, and stakeholders.

Skills

Python

Production AI/ML

LLM/GenAI

APIs & microservices

ML concepts & deployment

LangChain/LlamaIndex

Communication

Education

Bachelor's or Master's in CS/AI/DS/SE

Tools

FastAPI

Flask

MLflow

LangChain

LlamaIndex

OpenAI API

Pinecone

FAISS

Job description

Singapore

Job Family Group: Information Technology (IT)

Worker Type: Regular

Posting Start Date: September 4, 2026

Business Unit: Information & Digital Technology

Experience Level: Experienced Professionals

Job Description

About the Role

We are seeking an experienced Senior AI Engineer to design, build, deploy, and scale AI-powered products and services that deliver measurable business value. This role focuses on transforming machine learning and generative AI concepts into production-ready solutions that integrate seamlessly into enterprise workflows.

You will work across the full AI solution lifecycle, from rapid prototyping and experimentation to deployment, monitoring, and continuous improvement. Partnering closely with data scientists, product managers, platform teams, and business stakeholders, you will help shape and deliver innovative AI capabilities that drive operational efficiency and business outcomes.

The ideal candidate combines strong software engineering expertise with hands-on experience in machine learning, large language models (LLMs), MLOps, and responsible AI practices. You are passionate about solving complex problems, delivering scalable solutions, and enabling the successful adoption of AI technologies within an enterprise environment.

Accountabilities

AI Solution Development

• Design, develop, deploy, and support AI, machine learning, and generative AI solutions.


• Build and integrate LLM-powered applications into enterprise workflows.


• Develop scalable APIs and AI services, from prototype through to production.

Machine Learning & GenAI Engineering

• Collaborate with data scientists to operationalize machine learning, NLP, and AI models.


• Build evaluation, orchestration, and retrieval pipelines to support AI solutions.


• Support data preparation, model optimization, and performance improvement initiatives.

MLOps & Responsible AI

• Implement model monitoring, versioning, experiment tracking, and performance management.


• Establish processes to detect model drift and maintain production reliability.


• Promote responsible AI practices, including explainability, governance, and risk mitigation.

Stakeholder Collaboration & Delivery

• Partner with product, engineering, platform, security, and business teams to deliver scalable AI solutions.


• Translate business requirements into practical technical solutions.


• Contribute to engineering best practices, knowledge sharing, and mentoring within the team.

Skills and Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related discipline.


• Proven experience delivering AI, ML, or software engineering solutions in production environments.


• Strong Python programming skills.


• Experience with data processing and analytics tools such as SQL, Pandas, and NumPy.


• Knowledge of software development best practices, Git, and version control.


• Experience developing and deploying AI services using FastAPI, Flask, MLflow, or similar technologies.


• Hands-on experience building LLM applications using LangChain, LlamaIndex, or equivalent frameworks.


• Experience integrating foundation model APIs such as OpenAI, Anthropic, Cohere, or Mistral.


• Understanding of machine learning concepts, model deployment, and operationalization.


• Experience with vector or graph databases (e.g., FAISS, Pinecone, Weaviate, Neo4j).


• Strong communication, stakeholder engagement, and collaboration skills.

Preferred Technical Skills

• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.


• Understanding of deep learning, transformers, and foundation models.


• Knowledge of NLP concepts, including embeddings, RAG, and language models.


• Exposure to computer vision applications.


• Experience with prompt engineering, model fine-tuning, and evaluation techniques.


• Familiarity with MLOps practices, including model monitoring, governance, and deployment.


• Experience managing model performance, drift detection, and observability.


• Knowledge of Responsible AI and AI governance principles.


• Experience working with Azure cloud platforms and enterprise-scale AI solutions.

Nice to Have

• Experience within Oil & Gas, Energy, Trading, Shipping, ETRM, or other complex industrial environments.


• Experience delivering digital products within highly regulated enterprise environments where security, resilience, governance, and compliance are critical.

What You’ll Bring

• A strong delivery mindset with the ability to balance innovation, speed, and scalability.


• Exceptional problem-solving and analytical skills, with the ability to evaluate multiple technical approaches and identify fit-for-purpose solutions.


• Experience translating complex business challenges into practical AI solutions.


• Collaborative approach and the ability to work effectively across multidisciplinary teams.


• Passion for emerging AI technologies and their application to real-world business problems.


• Commitment to high engineering standards, quality, security, and responsible AI practices.


• Strong communication and influencing skills, with the ability to engage both technical and non-technical stakeholders.


• Continuous improvement mindset and a desire to share knowledge, mentor others, and contribute to team success.

What we offer

You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.

• Progress as a person as we work on the energy transition together.


• Continuously grow the transferable skills you need to get ahead.


• Work at the forefront of technology, trends, and practices.


• Collaborate with experienced colleagues with unique expertise.


• Achieve your balance in a values-led culture that encourages you to be the best version of yourself.


• Benefit from flexible working hours, and the possibility of remote/mobile working.


• Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world.


• Take advantage of paid parental leave, including for non-birthing parents.


• Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.


• Grow as you progress through diverse career opportunities in national and international teams.


• Gain access to a wide range of training and development programmes.

Shell in Singapore

Shell is an international energy company that uses advanced technologies and takes an innovative approach to help build a sustainable energy future. Here in Singapore, Shell has a long history and is one of the country’s largest foreign investors. It has businesses spanning trading and marketing of liquefied natural gas; refining, trading, marketing and shipping of oil products, lubricants and chemicals; low carbon solutions; and operating a network of service stations through retailers, as well as electric vehicles charging.

DISCLAIMER

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.